Dynamic optimization of electric arc furnace operation Journal Articles

abstract

• AbstractThe main objective of this work is the development of a computational procedure for determining optimal operating strategies for an industrial electric arc furnace (EAF). These goals are achieved by incorporating a detailed mechanistic model into a mathematical optimization framework. The model used in this work includes mass and energy balances, and contains sufficient detail to describe the melting process, chemical changes, and material and energy flows. Mathematical optimization is used to determine the optimal input trajectories based on an economic criterion; process limitations are accounted for by including them within the optimization problem as constraints. This optimization procedure considers trade‐offs between all the process inputs and processing time, so as to maximize the profit. Several case studies illustrating the use of mathematical optimization in the enhancement of process performance are given. © 2007 American Institute of Chemical Engineers AIChE J, 2007

authors

• MacRosty, Richard DM
• Swartz, Christopher L E

status

• published 

publication date

• March 2007

has subject area

• 0904 Chemical Engineering (FoR)
• 0914 Resources Engineering and Extractive Metallurgy (FoR)
• Chemical Engineering (Science Metrix)

published in

• AIChE Journal  Journal

keywords

• EAF
• Engineering
• Engineering, Chemical
• STRATEGY
• Science & Technology
• Technology
• dynamic model
• dynamic optimization
• electric arc furnace
• process optimization

Digital Object Identifier (DOI)

• 10.1002/aic.11104

start page

• 640

end page

• 653

volume

• 53

issue

• 3